AI&ML

CCS345: Ethics And AI syllabus for AI&ML 2021 regulation (Professional Elective-VII)

Ethics And AI detailed syllabus for Artificial Intelligence & Machine Learning (AI&ML) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the AI&ML students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Artificial Intelligence & Machine Learning 6th Sem scheme and its subjects, do visit AI&ML 6th Sem 2021 regulation scheme. For Professional Elective-VII scheme and its subjects refer to AI&ML Professional Elective-VII syllabus scheme. The detailed syllabus of ethics and ai is as follows.

Course Objectives:

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Unit I

INTRODUCTION
Definition of morality and ethics in AI-Impact on society-Impact on human psychology-Impact on the legal system-Impact on the environment and the planet-Impact on trust

Unit II

ETHICAL INITIATIVES IN AI
International ethical initiatives-Ethical harms and concerns-Case study: healthcare robots, Autonomous Vehicles , Warfare and weaponization.

Unit III

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Unit IV

ROBOETHICS: SOCIAL AND ETHICAL IMPLICATION OF ROBOTICS
Robot-Roboethics- Ethics and Morality- Moral Theories-Ethics in Science and Technology – Ethical Issues in an ICT Society- Harmonization of Principles- Ethics and Professional Responsibility-Roboethics Taxonomy.

Unit V

AI AND ETHICS- CHALLENGES AND OPPORTUNITIES
Challenges – Opportunities- ethical issues in artificial intelligence- Societal Issues Concerning the Application of Artificial Intelligence in Medicine- decision-making role in industries-National and International Strategies on AI.

Course Outcomes:

On completion of the course, the students will be able to

  1. Learn about morality and ethics in AI
  2. Acquire the knowledge of real time application ethics, issues and its challenges.
  3. Understand the ethical harms and ethical initiatives in AI
  4. Learn about AI standards and Regulations like AI Agent, Safe Design of Autonomous and Semi-Autonomous Systems
  5. Understand the concepts of Roboethics and Morality with professional responsibilities.
  6. Learn about the societal issues in AI with National and International Strategies on AI

Practical Exercises

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Text Books:

  1. y. Eleanor Bird, Jasmin Fox-Skelly, Nicola Jenner, Ruth Larbey, Emma Weitkamp and Alan Winfield ,”The ethics of artificial intelligence: Issues and initiatives”, EPRS | European Parliamentary Research Service Scientific Foresight Unit (STOA) PE 634.452 – March 2020
  2. Patrick Lin, Keith Abney, George A Bekey,” Robot Ethics: The Ethical and Social Implications of Robotics”, The MIT Press- January 2014.

Reference Books:

  1. Towards a Code of Ethics for Artificial Intelligence (Artificial Intelligence: Foundations, Theory, and Algorithms) by Paula Boddington November 2017
  2. Mark Coeckelbergh,” AI Ethics”, The MIT Press Essential Knowledge series, April 2020

Web Links

Download the iStudy App for all syllabus and other updates.
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For detailed syllabus of all the other subjects of Artificial Intelligence & Machine Learning 6th Sem, visit AI&ML 6th Sem subject syllabuses for 2021 regulation.

For all Artificial Intelligence & Machine Learning results, visit Anna University AI&ML all semester results direct link.

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